This paper adopts the use of the diffusion maps method for joining long string values, such as paper abstracts, movie summaries, product descriptions, and user feedback, to improve the performance of… (More)

This paper proposes an efficient method to extract user interests for recommender systems. Although item-item content similarity has been widely used in the literature, it could not detect certain… (More)

The Cloud E-Learning Systems for the Arabic language are relevant environments in many areas of training (teaching Arabic language) but also pose problems related to their creation tedious, costly in… (More)

During the similarity join process, one or more sources may not allow sharing the whole data with other sources. In this case, privacy preserved similarity join is required. We showed in our previous… (More)

During the similarity join process, one or more sources may not allow sharing its data with other sources. In this case, a privacy preserving similarity join is required. We showed in our previous… (More)

s, while we got results when applying diffusion maps with the same number of Abstracts. This showed that Diffusion Maps is the best candidate method for semantically joining attributes containing… (More)

In this work, we propose an efficient text summarization methodby ranking sentences according to their scores that use a combination of existing and improved sentence features. Many works in the… (More)